package com.atguigu.gulimail.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.atguigu.gulimail.search.config.ElasticSearchConfig;
import com.atguigu.gulimail.search.constant.EsConstant;
import com.atguigu.gulimail.search.service.MallSearchService;
import com.atguigu.gulimail.search.vo.SearchParam;
import com.atguigu.gulimail.search.vo.SearchResult;
import com.atguigu.gulimall.common.to.es.SkuEsModel;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
public class MallSearchServiceImpl implements MallSearchService {


    @Autowired
    private RestHighLevelClient client;

    @Override
    public SearchResult search(SearchParam searchParam) {
//        动态构建出需要的DSL语句

        SearchResult result = null;

//        1,准备检索请求
        SearchRequest request = buildSearchRequest(searchParam);


        try {
//            2. 执行检索请求
            SearchResponse response = client.search(request, ElasticSearchConfig.COMMON_OPTIONS);
//            3. 分析响应数据封装成我们需要的格式
            result = buildSearchResult(response, searchParam);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }


    //    构建结果数据
    private SearchResult buildSearchResult(SearchResponse response, SearchParam searchParam) {

        SearchResult result = new SearchResult();
        SearchHits hits = response.getHits();
//        1. 返回所有查询到的商品
        List<SkuEsModel> esModelList = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                esModelList.add(esModel);
            }
        }
        result.setProducts(esModelList);
//        2. 当前所有商品设涉及的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
//            1. 得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
//            2. 得到属性的名字
            String attrName = ((ParsedLongTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
//            3. 得到属性的所有值
            List<String> attrValues = ((ParsedLongTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);
        }

//        3. 当前所有商品涉及的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();

//            1. 得到品牌ID
            long brandId = bucket.getKeyAsNumber().longValue();
//            2. 得到品牌名
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
//            3. 得到品牌图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandImg(brandImg);
            brandVo.setBrandName(brandName);
            brandVos.add(brandVo);
        }


//        4. 当前商品涉及到的所有分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
//            得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
//        5. 分页信息 页码
        Long total = hits.getTotalHits().value;
        result.setTotal(total);
//        6. 分页信息 -总页码
        Long totalPage = total % EsConstant.PRODUCT_PAGESIZE == 0 ? total % EsConstant.PRODUCT_PAGESIZE : total % EsConstant.PRODUCT_PAGESIZE + 1;
        result.setTotalPages(totalPage.intValue());
        return result;

    }


    //    封装检索条件
    private SearchRequest buildSearchRequest(SearchParam param) {

        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); //构建DSL语句

        /**
         * 查询,模糊匹配,过滤(按照属性,分类,品牌,价格区间,库存)
         */
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //1. 构建boolQuery
//            1.1 must条件
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
//            1.2 bool - filter  按照三级分类Id查询
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
//            1.3 bool - filter -按照品牌id查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termQuery("brandId", param.getBrandId()));
        }

//        按照所有指定的属性进行查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            for (String attrStr : param.getAttrs()) {  //检索条件
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();

//                attr=1_5寸...
                String[] s = attrStr.split("_");
                String attrId = s[0];  //检索属性的ID
                String[] attrValues = s[1].split(":");  //这个属性检索用的值
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrValue", attrValues));
//                组合条件
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }

//        按照库存是否含有进行查询
        if (!StringUtils.isEmpty(param.getHasStock())) {
            boolQuery.filter(QueryBuilders.termQuery("hashStock", param.getHasStock() == 1));
        }
//        按照价格区间进行查询
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");

            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
//            区间
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
        }


        sourceBuilder.query(boolQuery);


        /**
         * 排序,分页,高亮
         */
//         2.1 排序
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
//        2.2 分页
        if (!StringUtils.isEmpty(param.getPageNum())) {
            sourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
            sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        }

//        2.3 高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }
        /**
         *聚合分析
         */
//        品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
//        品牌聚合的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));

//        2. 分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        sourceBuilder.aggregation(catalog_agg);

//        属性聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
//        聚合出当前所有的attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //        聚合分析出当前attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attr.attrName").size(1));
//        聚合分析出当前attr_id对应的所有可能的属性值attrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attr.attrValue").size(50));

        attr_agg.subAggregation(attr_id_agg);
        sourceBuilder.aggregation(attr_agg);

        sourceBuilder.aggregation(brand_agg);


        String s = sourceBuilder.toString();
        System.out.println("构建的DSL语句------>" + s);

        SearchRequest request = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
        return request;
    }

}
